Multifractal statistics and underlying kinetics of neuron spiking time-series

A. Bershadskii; E. Dremencov; D. Fukayama; G. Yadid

doi:10.1016/s0375-9601(01)00624-7

Multifractal statistics and underlying kinetics of neuron spiking time-series

A. Bershadskii
, E. Dremencov
, D. Fukayama
, G. Yadid

The Mina and Everard Goodman Faculty of Life Sciences - at Bar-Ilan University

The International Coalition for Agunah Rights
Bar-Ilan University
Chuo University

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

Probabilistic and multifractal properties of spiking time-series obtained in vivo from singular neurons belonging to red nucleus of the rat brain are analyzed. Lognormal and "-1" power-law probability distributions of interspike intervals are observed for healthy and for genetically depressive rats, respectively. A simple thermodynamic model is elaborated to interpret obtained results. Investigation of long-range interspike correlations (both probabilistic and multifractal) gives indications that the genetically defined depression is related to individual neurons kinetic problems rather than to the brain system disorder.

Original language	English
Pages (from-to)	337-342
Number of pages	6
Journal	Physics Letters, Section A: General, Atomic and Solid State Physics
Volume	289
Issue number	6
DOIs	https://doi.org/10.1016/s0375-9601(01)00624-7
State	Published - 29 Oct 2001

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10.1016/s0375-9601(01)00624-7

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AB - Probabilistic and multifractal properties of spiking time-series obtained in vivo from singular neurons belonging to red nucleus of the rat brain are analyzed. Lognormal and "-1" power-law probability distributions of interspike intervals are observed for healthy and for genetically depressive rats, respectively. A simple thermodynamic model is elaborated to interpret obtained results. Investigation of long-range interspike correlations (both probabilistic and multifractal) gives indications that the genetically defined depression is related to individual neurons kinetic problems rather than to the brain system disorder.

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Multifractal statistics and underlying kinetics of neuron spiking time-series

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